Moreover, if one is to infer the posterior distribution of \(Y\) , one may replace the max-product algorithm to solve Eq. (REF ) with the sum-product algorithm [1]}. Then, the obtained non-linearity in \(\phi \)  will turn into Tanh functions. As ReLUs are more used in practical GNNs, we focus on the case with ReLUs.
